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Supabase + Mailgun: cold emails that follow up
Send personalized cold email sequences from Supabase through Mailgun. Keep follow ups consistent and tracked.…
Voice Agents Workflows
Deploy voice agents that book meetings, qualify leads, and answer FAQs—then log every call, route follow-ups, and keep your CRM and inbox synced automatically.
Voice agent workflows are built for marketers, founders, ops teams, and agencies who need fast responses without adding headcount. Use them to capture inbound calls, qualify leads, schedule demos, and trigger clean follow-ups. Stop losing details after conversations. These automations transcribe calls, summarize intent, update Google Sheets or your CRM, alert Slack, and send emails automatically—so your pipeline moves even when you’re busy.
📊 About Voice Agents
AI automation for Voice Agents connects calling and speech tools with your systems, so every conversation becomes action. In this category you’ll find n8n workflows that handle call intake, real-time routing, transcription, and post-call summaries. Then they push outcomes to Sheets, inboxes, and team channels, or kick off next steps like booking calendars and creating tasks. Honestly, the ROI shows up fast when follow-up happens in minutes, not days.
How does Voice Agents automation work?
A typical setup starts with a call event (often via Twilio) that triggers an n8n workflow. The audio is transcribed, then an AI model like OpenAI turns it into a short summary, key fields (name, company, intent), and recommended next steps. From there, the workflow updates your systems: a row in Google Sheets, a message to Slack, and an email follow-up. You can also add rules to route urgent calls to the right person.
Do I need technical skills to automate Voice Agents?
Not really. Most Flowpast workflows are plug-and-play: you connect your accounts, paste a few API keys, and adjust simple fields like “send summary to this Slack channel.” If you can use Google Sheets and follow a checklist, you’ll be fine. When you want custom call flows, branching logic, or CRM mapping, light technical help can speed things up, but it’s optional.
How much time can automation save for Voice Agents?
For many teams, it replaces about 2 hours a day of manual busywork: writing call notes, copying details into sheets, and sending follow-ups. The bigger win is consistency. Every caller gets a response, every deal has a summary, and nothing sits in someone’s memory. If you handle high volume, savings can jump quickly because the workflow runs the same way on every call.
What do I need to get started with a Voice Agents workflow?
You need an n8n workspace (cloud or self-hosted), a voice/calling provider like Twilio, and access to an AI model (OpenAI is common). Have a destination ready too—Google Sheets, Slack, or your CRM—so the workflow has somewhere to write results. You’ll also want a basic call script or intent list (sales, support, booking) so the agent knows what to collect. Start with one call type, then expand.
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